NNIP Los Angeles October 17 2018 Jessie Partridge Guerrero Research Manager Metropolitan Area Planning Council Challenge How can we measure the impact of ride hailing in Metro Boston without any publicly available data ID: 798376
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Slide1
Fare ChoicesRide hailing trends in Metro Boston
NNIP Los Angeles, October 17, 2018Jessie Partridge GuerreroResearch ManagerMetropolitan Area Planning Council
Slide2ChallengeHow can we measure the impact of
ride- hailing in Metro Boston without any publicly available data?
Slide3Goals of our research
Understand impact of ride-hailing on residents, commuters, and transportation systemsInform regional travel demand modeling and forecasting methodsImprove traffic management and operationsDevelop policy responses
Slide4Efforts to procure dataStrategy 1: Inquire ride-hailing companies directly ……………………….................
Strategy 2: Inquire ride-hailing drivers directly ……………………………...................Strategy 3: Acquire trip-level data from a driver reporting app …………...............Strategy 4: Acquire ‘big data’ source from Northeastern University ……………….Strategy 5: Collect ride-hailing passenger survey …………………………….............
Strategy 6: Utilize legislatively-mandated data reporting …………………..............
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Slide5Fare Choices Report
www.mapc.org/farechoices
Authors
Steven R. Gehrke
Alison Felix
Timothy Reardon
Additional Contributors
Jessie Partridge Guerrero
Eric Bourassa
Fare Choices
Slide6Fare Choices Key Findings
82% of ride-hailing passengers were born after 1983.
Slide7Fare Choices Key Findings
73% of passengers who substituted transit use for ride-hailing stated “quicker than transit” as a main reason.
Slide8Fare Choices Conclusions
Main findingsDemographics suggest quick adoption and raise concerns of habit development.Substitution of more sustainable modes is worsening regional roadway congestion.Individuals in lower-income households see ride-hailing as a viable alternative to transit.Individuals without nearby rapid transit service are adopting these services for travel to/from home.Policy implicationsAdjustments to increase the legislatively-mandated $0.20 ride assessment are needed.
$0.20 per ride surcharge through 2027, with $0.10 provided to muni where trip originates.
Our report estimated a revenue loss of $0.35 per ride-hailing trip for MBTA.
Improved provisions and protocols for data sharing agreements with public agencies are needed.
Slide9Fare Choices Report
www.mapc.org/farechoices
Authors
Steven R. Gehrke
Timothy Reardon
Additional Contributors
Alison Felix
Elizabeth Weyant
Elise Harmon
Amanda Linehan
Share of Choices
Slide10Share of Choices Key Findings
Slide11Share of Choices ConclusionsMain
FindingsIn Boston, we estimate that nearly one in every 25 trips is performed using ride-hailing services.In region’s Inner Core, at least one ride-hailing trip is conducted for every five public transit trips.Impact on Revenue and FundsIn 2017, we estimate the net revenue impact of ride-hailing to MBTA as a loss of about $16.5 million.The 20 Inner Core municipalities will receive about $5.5 million from $0.10 ride assessment.
In 2019, communities will receive $34.8 million for roadway capital improvement projects.
Per-ride surcharge provides welcome new revenue, but remains a relatively small amount.
Impact
on VMT
In Massachusetts, ride-hailing accounted for 291 million miles of passenger travel in 2017.
Statewide, ride-hailing travel accounted for just over half a percent of all passenger VMT
.
Slide12Implications on Transportation System Now and into the Future
Ride-hailing has become a viable travel option as well as competing alternative to public transit.42-percent of surveyed passengers substituted public transit use with ride-hailing services.Ratio of ride-hailing-to-public transit mode shares highest in areas without rapid transit service.Ride-hailing adoption and utilization is largely led by millennials and urban residents.80-percent of surveyed passengers were under 35 years of age.
84-percent of ride-hailing trips in Massachusetts took place in 20 Inner Core communities.
Slide13Next StepsGreater insight needed into ride-hailing trip distribution, travel patterns, and routes.
Available data sets do not track trips from origin to destination.Data valuable for understanding impact on transportation system and traffic operations.Build evidence base on ride-hailing adoption to plan for automated vehicle fleet introduction.
Slide14Thanks!
Jessie Partridge Guerrero, Research ManagerMetropolitan Area Planning Counciljpartridge@mapc.org